{"id":"https://openalex.org/W4386511996","doi":"https://doi.org/10.1145/3587716.3587783","title":"A Self-attention Feature Metric Learning Method for Remote Sensing Image Retrieval","display_name":"A Self-attention Feature Metric Learning Method for Remote Sensing Image Retrieval","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4386511996","doi":"https://doi.org/10.1145/3587716.3587783"},"language":"en","primary_location":{"id":"doi:10.1145/3587716.3587783","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3587716.3587783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025767995","display_name":"Jiahui Wu","orcid":"https://orcid.org/0000-0002-4119-7597"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahui Wu","raw_affiliation_strings":["Guangdong University of Technology, University, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, University, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007409112","display_name":"Zhuowei Wang","orcid":"https://orcid.org/0000-0001-6479-5154"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuowei Wang","raw_affiliation_strings":["Guangdong University of Technology, University, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, University, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053146359","display_name":"Genping Zhao","orcid":"https://orcid.org/0000-0002-3360-1756"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genping Zhao","raw_affiliation_strings":["Guangdong University of Technology, University, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, University, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018383619","display_name":"Shuo Qu","orcid":"https://orcid.org/0000-0003-3960-1391"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Qu","raw_affiliation_strings":["Guangdong University of Technology, University, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, University, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025767995"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10550453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"399","last_page":"405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7414334416389465},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6633740663528442},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6532891392707825},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6067981719970703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49999260902404785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4908083379268646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43220263719558716},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41901007294654846},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39867231249809265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3727308511734009},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11980241537094116},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07070299983024597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7414334416389465},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6633740663528442},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6532891392707825},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6067981719970703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49999260902404785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4908083379268646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43220263719558716},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41901007294654846},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39867231249809265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3727308511734009},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11980241537094116},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07070299983024597},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3587716.3587783","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3587716.3587783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1980038761","https://openalex.org/W2012592962","https://openalex.org/W2091510577","https://openalex.org/W2097117768","https://openalex.org/W2124386111","https://openalex.org/W2163605009","https://openalex.org/W2262038409","https://openalex.org/W2274287116","https://openalex.org/W2395611524","https://openalex.org/W2736154721","https://openalex.org/W2763822693","https://openalex.org/W2766671789","https://openalex.org/W2783165089","https://openalex.org/W2883105896","https://openalex.org/W2886702754","https://openalex.org/W2913741863","https://openalex.org/W2918316070","https://openalex.org/W2963256013","https://openalex.org/W2963588253","https://openalex.org/W2981537605","https://openalex.org/W3105475654","https://openalex.org/W4241699713","https://openalex.org/W4297683907","https://openalex.org/W4300939921","https://openalex.org/W6674914833","https://openalex.org/W6687483927","https://openalex.org/W6730903564","https://openalex.org/W6731892127"],"related_works":["https://openalex.org/W1504288058","https://openalex.org/W2331674254","https://openalex.org/W2811390910","https://openalex.org/W2167293474","https://openalex.org/W2146076056","https://openalex.org/W3042897387","https://openalex.org/W2048505601","https://openalex.org/W2017205855","https://openalex.org/W2979079341","https://openalex.org/W2546942002"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,61],"image":[2,16,47,62],"retrieval":[3,120],"(RSIR)":[4],"is":[5,122],"a":[6,27,50,64,69,75],"challenging":[7],"task":[8],"due":[9],"to":[10,54,81],"the":[11,15,18,40,43,56,84,91,101,117,119,125,129],"complex":[12,65],"backgrounds":[13],"of":[14,20,46,59,74,86,103],"and":[17,42,109],"inclusion":[19],"various":[21],"semantic":[22],"objects.":[23],"This":[24],"paper":[25],"presents":[26],"novel":[28],"self-attention":[29,107],"mechanism":[30,108],"for":[31],"RSIR":[32],"using":[33],"deep":[34],"learning":[35,71],"networks.":[36],"We":[37,67],"elaborate":[38],"on":[39,90],"long-distance":[41],"multi-layer":[44],"dependence":[45],"regions":[48],"within":[49],"convolutional":[51],"neural":[52],"network":[53,72],"extract":[55],"salient":[57],"features":[58],"remote":[60],"against":[63],"background.":[66],"propose":[68],"new":[70],"structure":[73],"multiple":[76],"similarity":[77],"(MS)":[78],"loss":[79,111],"function":[80,112],"further":[82],"enhance":[83,100],"discriminability":[85],"features.":[87],"The":[88],"experiments":[89],"typical":[92],"datasets":[93],"show":[94],"that":[95],"our":[96],"method":[97],"can":[98],"significantly":[99],"accuracy":[102],"RSIR.":[104],"Moreover,":[105],"when":[106],"MS":[110],"are":[113],"simultaneously":[114],"considered":[115],"in":[116],"network,":[118],"precision":[121],"better":[123],"than":[124],"results":[126],"obtained":[127],"by":[128],"previous":[130],"methods.":[131]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}